Alternatives and similar repositories for auton-survival

Users that are interested in auton-survival are comparing it to the libraries listed below

• MI2DataLab / survshap
  SurvSHAP(t): Time-dependent explanations of machine learning survival models
  ☆95Updated last year
• havakv / pycox
  Survival analysis with PyTorch
  ☆939Updated last year
• square / pysurvival
  Open source package for Survival Analysis modeling
  ☆368Updated last year
• chl8856 / DeepHit
  DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks
  ☆219Updated 10 months ago
• RyanWangZf / SurvTRACE
  SurvTRACE: Transformers for Survival Analysis with Competing Events
  ☆60Updated 2 years ago
• vanderschaarlab / clairvoyance
  Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series
  ☆132Updated 3 years ago
• Novartis / torchsurv
  Deep survival analysis made easy
  ☆170Updated 3 weeks ago
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆194Updated 2 years ago
• autonlab / DeepSurvivalMachines
  ☆29Updated 3 years ago
• julianspaeth / random-survival-forest
  A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.
  ☆64Updated last year
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆282Updated last week
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆342Updated last year
• jaredleekatzman / DeepSurv
  DeepSurv is a deep learning approach to survival analysis.
  ☆667Updated 5 years ago
• Jeanselme / DynamicDeepHit
  Dynamic Deep Hit - Pytorch implementation
  ☆29Updated last month
• chiragnagpal / deep_cox_mixtures
  Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
  ☆29Updated 3 years ago
• chl8856 / Dynamic-DeepHit
  Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data
  ☆84Updated 5 years ago
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆281Updated 2 years ago
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆401Updated last month
• hrossman / pymsm
  ☆53Updated 3 years ago
• interpretml / FasterRisk
  Create sparse and accurate risk scoring systems!
  ☆44Updated last year
• vanderschaarlab / autoprognosis
  A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
  ☆168Updated 8 months ago
• vanderschaarlab / temporai
  TemporAI: ML-centric Toolkit for Medical Time Series
  ☆126Updated 2 years ago
• i6092467 / vadesc
  A probabilistic model to cluster survival data in a variational deep clustering setting
  ☆30Updated 3 years ago
• robi56 / Survival-Analysis-using-Deep-Learning
  This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
  ☆220Updated 2 years ago
• MGensheimer / nnet-survival
  Discrete-Time Survival Model for Neural Networks
  ☆93Updated last year
• imatge-upc / SurvLIMEpy
  Local interpretability for survival models
  ☆24Updated last year
• sebp / survival-cnn-estimator
  Tutorial on survival analysis using TensorFlow.
  ☆47Updated 5 years ago
• Califrais / flash
  A generalized joint model for high-dimensional multivariate longitudinal data and censored durations
  ☆13Updated last year
• smazzanti / mrmr
  mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
  ☆617Updated last year
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆799Updated 8 months ago